{"id":10739,"date":"2025-08-15T03:44:24","date_gmt":"2025-08-14T19:44:24","guid":{"rendered":"https:\/\/ai-stack.ai\/?p=10739"},"modified":"2025-08-15T03:52:31","modified_gmt":"2025-08-14T19:52:31","slug":"gpt-5-2","status":"publish","type":"post","link":"https:\/\/ai-stack.ai\/en\/gpt-5-2","title":{"rendered":"GPT-5 Deep Dive: The Complete Truth from Controversy to Innovation"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>GPT-5 Launch Background: The Gap Between Expectations and Reality<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">On August 7, 2025, OpenAI officially released the highly anticipated GPT-5. However, unlike the expected revolutionary breakthrough, this launch triggered unprecedented user backlash. CEO Sam Altman&#8217;s pre-launch &#8220;Death Star&#8221; image post hinted at a world-changing event, but the actual product left many users disappointed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">According to <a href=\"https:\/\/openai.com\/index\/introducing-gpt-5\/\" target=\"_blank\" rel=\"noopener\">OpenAI&#8217;s official announcement<\/a>, GPT-5 was positioned as a &#8220;unified AI model&#8221; integrating the reasoning capabilities of the o-series with the rapid response of the GPT series. However, early user experiences revealed multiple serious issues, leading to community assessments of GPT-5 as a &#8220;sensational failure.&#8221;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>GPT-5 Controversy Core: User Criticism and Testing Analysis<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Forced Model Migration Triggers Trust Crisis<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Alongside GPT-5&#8217;s release, OpenAI overnight removed eight popular legacy models, including GPT-4o, o3, o3 Pro, and others. This decision, called by users &#8220;the biggest bait-and-switch in AI history,&#8221; severely damaged user trust. Many paying users reported they relied on these models for daily work, and the sudden removal disrupted their workflows.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">One user shared: &#8220;GPT-4o wasn&#8217;t just a tool for me, it helped me through anxiety, depression, and the darkest period of my life.&#8221; This severing of emotional connections left OpenAI facing an unprecedented trust crisis.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Model Quality Controversy: Testing Data Reveals the Truth<\/strong><\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Test Item<\/strong><\/td><td><strong>GPT-5 Performance<\/strong><\/td><td><strong>Competitor Performance<\/strong><\/td><td><strong>Problem Severity<\/strong><\/td><\/tr><tr><td>Math Operations<\/td><td>Wrong answer (5.9-5.11=0.21)<\/td><td>Claude correct (-0.21)<\/td><td>Severe<\/td><\/tr><tr><td>Logical Reasoning<\/td><td>Partial failure<\/td><td>Mixed performance<\/td><td>Moderate<\/td><\/tr><tr><td>Programming<\/td><td>Below expectations<\/td><td>Claude Opus 4.1 superior<\/td><td>Severe<\/td><\/tr><tr><td>Response Quality<\/td><td>Brief, lacks personality<\/td><td>GPT-4o more human-like<\/td><td>Moderate<\/td><\/tr><tr><td>Spelling Tests<\/td><td>50% accuracy<\/td><td>Inconsistent<\/td><td>Moderate<\/td><\/tr><tr><td>Response Speed<\/td><td>Often too slow<\/td><td>Older models faster<\/td><td>Severe<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Testing revealed GPT-5 gave the wrong answer of 0.21 for the basic math problem &#8220;5.9 = X + 5.11&#8221; (correct answer is -0.21), and couldn&#8217;t correctly answer the logic puzzle &#8220;Metal cup with sealed top and missing bottom, how to drink water?&#8221; (answer: flip the cup).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Router Mechanism: Cost Consideration or Technical Innovation?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">GPT-5&#8217;s automatic router system became the biggest controversy. The system automatically assigns user requests to different models (Mini, Standard, Thinking, or Pro) based on problem complexity.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Router Mode<\/strong><\/td><td><strong>Assignment Logic<\/strong><\/td><td><strong>User Experience<\/strong><\/td><td><strong>Actual Problem<\/strong><\/td><\/tr><tr><td>Mini<\/td><td>Simple queries<\/td><td>Fast but superficial<\/td><td>Overused<\/td><\/tr><tr><td>Standard<\/td><td>General questions<\/td><td>Balanced<\/td><td>Improper assignment<\/td><\/tr><tr><td>Thinking<\/td><td>Complex reasoning<\/td><td>Deep but slow<\/td><td>Excessive waiting<\/td><\/tr><tr><td>Pro<\/td><td>Professional tasks<\/td><td>Best but expensive<\/td><td>Rarely triggered<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Wharton Business School AI Professor Ethan Mollick pointed out: &#8220;Unless you explicitly choose and pay for GPT-5 Thinking or Pro, you sometimes get the best AI, sometimes the worst AI, and may even switch within the same conversation.&#8221;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>OpenAI&#8217;s Crisis Management and Improvement Measures<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Rapid Response: Restoring Old Model Options<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Facing overwhelming criticism, Sam Altman announced within 24 hours of launch: &#8220;We will let Plus users choose to continue using GPT-4o.&#8221; Users can now enable &#8220;Show old models&#8221; in settings to re-access removed models.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Router Repair and Optimization<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">On August 8, Altman admitted the router system had failed: &#8220;The automatic switcher was broken for a whole day, making GPT-5 look much dumber.&#8221; OpenAI immediately performed emergency repairs and adjusted decision boundaries to ensure users &#8220;more often get the right model.&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Post-repair improvements:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>More accurate task identification<\/li>\n\n\n\n<li>Reduced inappropriate model downgrades<\/li>\n\n\n\n<li>Manual selection options provided<\/li>\n\n\n\n<li>Increased transparency display<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>GPT-5 Technical Specifications and Version Comparison<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Complete Version Comparison Table<\/strong><\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Version Features<\/strong><\/td><td><strong>GPT-5 Standard<\/strong><\/td><td><strong>GPT-5 Mini<\/strong><\/td><td><strong>GPT-5 Nano<\/strong><\/td><td><strong>GPT-5 Pro<\/strong><\/td><td><strong>GPT-4o (Restored)<\/strong><\/td><\/tr><tr><td>Target Users<\/td><td>General users<\/td><td>Lightweight apps<\/td><td>High-frequency simple tasks<\/td><td>Enterprise research<\/td><td>Original user base<\/td><\/tr><tr><td>Context Length<\/td><td>128K tokens<\/td><td>64K tokens<\/td><td>32K tokens<\/td><td>400K tokens<\/td><td>128K tokens<\/td><\/tr><tr><td>Response Speed<\/td><td>Medium<\/td><td>Fast<\/td><td>Ultra-fast<\/td><td>Slow (deep thinking)<\/td><td>Fast<\/td><\/tr><tr><td>Accuracy<\/td><td>75-85%<\/td><td>60-70%<\/td><td>50-60%<\/td><td>90-95%<\/td><td>80-90%<\/td><\/tr><tr><td>Personalization<\/td><td>Limited<\/td><td>None<\/td><td>None<\/td><td>Complete<\/td><td>Excellent<\/td><\/tr><tr><td>Monthly Cost (USD)<\/td><td>$20<\/td><td>Included<\/td><td>Included<\/td><td>$200+<\/td><td>$20<\/td><\/tr><tr><td>Use Cases<\/td><td>Daily use<\/td><td>Simple queries<\/td><td>Batch processing<\/td><td>Professional research<\/td><td>Creative writing<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Actual Performance Benchmarks<\/strong><\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Test Domain<\/strong><\/td><td><strong>GPT-5 Claims<\/strong><\/td><td><strong>Actual Results<\/strong><\/td><td><strong>vs GPT-4o<\/strong><\/td><td><strong>Credibility<\/strong><\/td><\/tr><tr><td>Math Reasoning<\/td><td>94.6%<\/td><td>~70%<\/td><td>-10%<\/td><td>Questionable<\/td><\/tr><tr><td>Programming<\/td><td>74.9%<\/td><td>~65%<\/td><td>-5%<\/td><td>Below par<\/td><\/tr><tr><td>Creative Writing<\/td><td>Not disclosed<\/td><td>Medium<\/td><td>-20%<\/td><td>Downgraded<\/td><\/tr><tr><td>Factual Accuracy<\/td><td>-45% hallucination<\/td><td>-20%<\/td><td>Slightly better<\/td><td>Partial improvement<\/td><\/tr><tr><td>Response Speed<\/td><td>2-3x improvement<\/td><td>0.5-1x<\/td><td>Slower<\/td><td>Failed target<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Real User Experience and Case Analysis<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>User Feedback Statistics<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Based on analysis of thousands of comments from Reddit, Twitter, and other platforms:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>User Perspective<\/strong><\/td><td><strong>Percentage<\/strong><\/td><td><strong>Main Arguments<\/strong><\/td><\/tr><tr><td>Strongly Dissatisfied<\/td><td>45%<\/td><td>Model quality downgrade, forced migration<\/td><\/tr><tr><td>Partially Disappointed<\/td><td>30%<\/td><td>Unmet expectations, partial feature regression<\/td><\/tr><tr><td>Neutral Wait-and-See<\/td><td>15%<\/td><td>Awaiting improvements, reserving judgment<\/td><\/tr><tr><td>Cautiously Supportive<\/td><td>10%<\/td><td>Recognizes unified architecture direction<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Actual Use Case Comparisons<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Programming Development Test:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Task: Develop Balatro game clone<\/li>\n\n\n\n<li>GPT-5: Basic functionality, multiple errors<\/li>\n\n\n\n<li>Claude Opus 4.1: Complete functionality, runnable<\/li>\n\n\n\n<li>GPT-4o: Medium performance<\/li>\n\n\n\n<li>Conclusion: GPT-5 significantly lags in complex programming tasks<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Creative Writing Test:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Task: Generate encouraging messages<\/li>\n\n\n\n<li>GPT-5: Brief, formulaic<\/li>\n\n\n\n<li>GPT-4o: Warm, personalized<\/li>\n\n\n\n<li>User preference: 70% chose GPT-4o<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Problem Analysis: Why Did GPT-5 Trigger Such Backlash?<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Failed Expectation Management<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">OpenAI&#8217;s marketing strategy created a huge expectation gap:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Overhyped preview (Death Star image)<\/li>\n\n\n\n<li>Lack of transparent feature explanations<\/li>\n\n\n\n<li>Ignored actual user needs<\/li>\n\n\n\n<li>Released without sufficient testing<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Technical Decision Controversy<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Gap between router system design intent and actual effect:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Intent: Intelligently allocate resources, optimize experience<\/li>\n\n\n\n<li>Reality: Excessive cost-saving, sacrificing quality<\/li>\n\n\n\n<li>Result: Users lose sense of control, inconsistent experience<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Communication Strategy Issues<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">OpenAI&#8217;s insufficient crisis communication:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Initial denial of problems<\/li>\n\n\n\n<li>Lack of immediate technical support<\/li>\n\n\n\n<li>No clear improvement timeline provided<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Latest Developments and Future Outlook<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Resolved Issues<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u2705 Old models restored: Users can re-use models like GPT-4o<br>\u2705 Router partially fixed: Reduced misallocation<br>\u2705 Increased transparency: Shows current model in use<br>\u2705 Provided choice: Allows manual model selection<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Pending Challenges<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u274c Insufficient basic capabilities: Math, logic still have obvious flaws<br>\u274c Response speed issues: Thinking time too long<br>\u274c Cost vs quality balance: Excessive bias toward cost-saving<br>\u274c User trust rebuilding: Requires long-term effort<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>OpenAI&#8217;s Future Direction<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">According to internal sources, OpenAI is developing:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Highly customized models: Adjusted to user preferences<\/li>\n\n\n\n<li>Improved routing algorithms: More precise task identification<\/li>\n\n\n\n<li>Performance optimization: Enhancing basic capabilities<\/li>\n\n\n\n<li>Transparency tools: Helping users understand AI decision processes<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Practical Advice: How to Use GPT-5 in Current Situation<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Recommendations for Paid Users<\/strong><\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Use Case<\/strong><\/td><td><strong>Recommended Choice<\/strong><\/td><td><strong>Reason<\/strong><\/td><\/tr><tr><td>Creative Writing<\/td><td>GPT-4o<\/td><td>Better personalization<\/td><\/tr><tr><td>Programming<\/td><td>Claude or GPT-4o<\/td><td>Higher accuracy<\/td><\/tr><tr><td>Simple Queries<\/td><td>GPT-5 Mini<\/td><td>Fast, low cost<\/td><\/tr><tr><td>Deep Research<\/td><td>GPT-5 Pro (manual)<\/td><td>Ensures quality<\/td><\/tr><tr><td>Math Calculations<\/td><td>External tools<\/td><td>Avoid errors<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Best Practice Guide<\/strong><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Enable old model options: Turn on in settings, keep alternatives<\/li>\n\n\n\n<li>Manual model selection: Avoid auto-routing for important tasks<\/li>\n\n\n\n<li>Verify critical information: Especially numbers and logical reasoning<\/li>\n\n\n\n<li>Save important conversations: Prevent model change impacts<\/li>\n\n\n\n<li>Provide specific feedback: Help OpenAI improve<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion: Transition Period Pains and Future Hope<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">GPT-5&#8217;s release is indeed a &#8220;transitional phase&#8221; &#8211; neither a complete failure nor the expected revolution. The current situation reflects the AI industry&#8217;s struggle between pursuing innovation and maintaining stability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Key Takeaways:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>GPT-5 represents the direction of technical integration but has major execution flaws<\/li>\n\n\n\n<li>User backlash forced rapid OpenAI adjustments, showing community power&#8217;s importance<\/li>\n\n\n\n<li>Future success depends on whether OpenAI can rebuild trust and truly improve the product<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Advice for Users:<br>Maintain rational expectations, make good use of existing options, and actively provide feedback. GPT-5 may not be the &#8220;perfect AI&#8221; we expected, but it&#8217;s a necessary step toward a better future. With continuous improvements and integration of user feedback, we may see an AI assistant that truly meets expectations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For more about GPT-5&#8217;s latest developments, follow <a href=\"https:\/\/openai.com\/gpt-5\/\" target=\"_blank\" rel=\"noopener\">OpenAI&#8217;s official website<\/a> or participate in community discussions. Remember: In the era of rapid AI development, today&#8217;s problems may be tomorrow&#8217;s drivers for improvement.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>GPT-5 Launch Background: The Gap Between Expectations and Reality On August 7, 2025, OpenAI officially released the highly anticipated GPT-5. However, unlike the expected revolutionary breakthrough, this launch triggered unprecedented user backlash. CEO Sam Altman&#8217;s pre-launch &#8220;Death Star&#8221; image post hinted at a world-changing event, but the actual product left many users disappointed. According to OpenAI&#8217;s official announcement, GPT-5 was positioned as a &#8220;unified AI model&#8221; integrating the reasoning capabilities of the o-series with the rapid response of the GPT series. However, early user experiences revealed multiple serious issues, leading to community assessments of GPT-5 as a &#8220;sensational failure.&#8221; GPT-5 Controversy&#8230;<\/p>\n","protected":false},"author":253372376,"featured_media":10740,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_crdt_document":"","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[96987604,96987592],"tags":[],"class_list":["post-10739","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-news","category-featured-articles"],"blocksy_meta":[],"acf":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/ai-stack.ai\/wp-content\/uploads\/2025\/08\/%E6%A8%A1%E5%9E%8BA-7.jpg?fit=1920%2C1080&quality=100&ct=202603031250&ssl=1","jetpack_shortlink":"https:\/\/wp.me\/ph344V-2Nd","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/posts\/10739","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/users\/253372376"}],"replies":[{"embeddable":true,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/comments?post=10739"}],"version-history":[{"count":1,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/posts\/10739\/revisions"}],"predecessor-version":[{"id":10743,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/posts\/10739\/revisions\/10743"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/media\/10740"}],"wp:attachment":[{"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/media?parent=10739"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/categories?post=10739"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/tags?post=10739"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}